Instructions to use emte/flux1-dev-copy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use emte/flux1-dev-copy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("emte/flux1-dev-copy", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4658d65161a54ca240ecb4a10a3f692aea500e8da7f41588ac620cc45b27152b
- Size of remote file:
- 3.87 GB
- SHA256:
- 0d9c7c663217d1c3d44a6deed4e1cf1ac09fbc2c4137c47de1e3d74c959833de
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.